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Wright State University

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Articles 2401 - 2430 of 2694

Full-Text Articles in Computer Sciences

Discovering And Ranking Semantic Associations Over A Large Rdf Metabase, Christian Halaschek-Wiener, Boanerges Aleman-Meza, I. Budak Arpinar, Amit P. Sheth Jan 2004

Discovering And Ranking Semantic Associations Over A Large Rdf Metabase, Christian Halaschek-Wiener, Boanerges Aleman-Meza, I. Budak Arpinar, Amit P. Sheth

Kno.e.sis Publications

Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful relationships among this data is becoming an active research topic. Just as ranking of documents is a critical component of today's search engines, the ranking of relationships will be essential in tomorrow's semantic analytics engines. Building upon our recent work on specifying these semantic relationships, which we refer to as Semantic Associations, we demonstrate a system where these associations are discovered among a large semantic metabase represented in RDF. Additionally we employ ranking techniques to provide …

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The Integration Of Connectionism And First-Order Knowledge Representation And Reasoning As A Challenge For Artificial Intelligence, Sebastian Bader, Steffen Holldobler, Pascal Hitzler Jan 2004

The Integration Of Connectionism And First-Order Knowledge Representation And Reasoning As A Challenge For Artificial Intelligence, Sebastian Bader, Steffen Holldobler, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (also called connectionist systems) on the other, differ substantially. It would be very desirable to combine the robust neural networking machinery with symbolic knowledge representation and reasoning paradigms like logic programming in such a way that the strengths of either paradigm will be retained. Current state-of-the-art research, however, fails by far to achieve this ultimate goal. As one of the main obstacles to be overcome we perceive the question how symbolic knowledge can be encoded by means of connectionist systems: Satisfactory answers to this will …

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Service Oriented Architectures And Semantic Web Processes, Francisco Cubera, Kunal Verma, Amit P. Sheth Jan 2004

Service Oriented Architectures And Semantic Web Processes, Francisco Cubera, Kunal Verma, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

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Semantic Visualization: Interfaces For Exploring And Exploiting Ontology, Knowledgebase, Heterogeneous Content And Complex Relationships, Amit P. Sheth, David Avant Jan 2004

Semantic Visualization: Interfaces For Exploring And Exploiting Ontology, Knowledgebase, Heterogeneous Content And Complex Relationships, Amit P. Sheth, David Avant

Kno.e.sis Publications

Technology platforms and products for ontology-driven process of semantic applications that serve both Enterprise wide and pan-Web needs are both available and being deployed. Similar to the development of enterprise software applications, the creation of an ontology driven semantic application can be described as a set of distinct phases that compose a lifecycle. From conception to deployment, these phases involve human interaction with a broad variety of information, identified as heterogeneous data, metadata, knowledge and ontology. Based on experience spanning academic research at the LSDIS lab through deployed commercial semantic applications based on Semagix Freedom, this paper provides examples of …

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Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth Jan 2004

Semantic Web Research Center Report: Lsdis Lab, Research In Semantic Bioinformatics, Semantic Analytics And Semantic Web Processes, Amit P. Sheth

Kno.e.sis Publications

The LSDIS Lab advances the field of distributed information systems by researching semantic techniques for exploiting heterogeneous multimedia information and improving processes, encompassing the central promise of the Semantic Web initiative. It is pursuing cutting edge research in ontology development for demanding scientific domains, semantic heterogeneity and integration, complex relationships discovery and semantic analytics, and Semantic Web services and processes. Past work of the LSDIS lab can be characterized by keywords: semantic interoperability, syntactic and semantic metadata for text and digital media, metadata based integration of Web content, ontology-driven information systems, multi-ontology query processing, transactional workflows and workflow management. Significant …

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Cs 302-01: Client Server Databases, Karen Meyer Jan 2004

Cs 302-01: Client Server Databases, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs/Mth 317/517: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor Jan 2004

Cs/Mth 317/517: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor

Computer Science & Engineering Syllabi

Continuation of CS/MTH/316/516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of errors in numerical methods. Special topics and applications presented as schedule permits. 4 credit hours. Prerequisites: CS 316, MTH 233, 253, or 355. Programming course prerequisites: EGR 153 or CEG 220 or CS 241.

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Semantic (Web) Technology In Action: Ontology Driven Information Systems For Search, Integration, And Analysis, Amit P. Sheth, Cartic Ramakrishnan Dec 2003

Semantic (Web) Technology In Action: Ontology Driven Information Systems For Search, Integration, And Analysis, Amit P. Sheth, Cartic Ramakrishnan

Kno.e.sis Publications

Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of information systems applications. In this context, we review some of the reservations expressed about the viability of the Semantic Web. We respond to these by identifying a Semantic Technology that supports the key capabilities also needed to realize the Semantic Web vision, namely representing, acquiring and utilizing knowledge. Given that scalability is a key challenge, we briefly review our observations from developing three classes of real world applications and corresponding technology components: search/browsing, integration, and analytics. We distinguish …

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Semantic Web Processes: Semantics Enabled Annotation, Discovery, Composition, And Orchestration Of Web Scale Processes, Jorge Cardoso, Amit P. Sheth Dec 2003

Semantic Web Processes: Semantics Enabled Annotation, Discovery, Composition, And Orchestration Of Web Scale Processes, Jorge Cardoso, Amit P. Sheth

Kno.e.sis Publications

This tutorial deals with the evolution of inter- Enterprise and Web scale process to support e-commerce and e-services. It taps into the promises of two of the hottest R&D and technology areas: Web services and the Semantic Web. It presents how applying semantics to each of the steps in the Semantic Web Process lifecycle can help address critical issues in reuse, integration and scalability.

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Validating And Refining Clusters Via Visual Rendering, Keke Chen, Ling Liu Nov 2003

Validating And Refining Clusters Via Visual Rendering, Keke Chen, Ling Liu

Kno.e.sis Publications

The automatic clustering algorithms are known to work well in dealing with clusters of regular shapes, e.g. compact spherical/elongated shapes, but may incur higher error rates when dealing with arbitrarily shaped clusters. Although some efforts have been devoted to addressing the problem of skewed datasets, the problem of handling clusters with irregular shapes is still in its infancy, especially in terms of dimensionality of the datasets and the precision of the clustering results considered. Not surprisingly, the statistical indices works ineffective in validating clusters of irregular shapes, too. We address the problem of clustering and validating arbitrarily shaped clusters with …

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Semantic E-Workflow Composition, Jorge Cardoso, Amit P. Sheth Nov 2003

Semantic E-Workflow Composition, Jorge Cardoso, Amit P. Sheth

Kno.e.sis Publications

Systems and infrastructures are currently being developed to support Web services. The main idea is to encapsulate an organization's functionality within an appropriate interface and advertise it as Web services. While in some cases Web services may be utilized in an isolated form, it is normal to expect Web services to be integrated as part of workflow processes. The composition of workflow processes that model e-service applications differs from the design of traditional workflows, in terms of the number of tasks (Web services) available to the composition process, in their heterogeneity, and in their autonomy. Therefore, two problems need to …

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Towards (Semi-) Automatic Generation Of Bio-Medical Ontologies, Vipul Kashyap, Cartic Ramakrishnan, Thomas Rindflesch Nov 2003

Towards (Semi-) Automatic Generation Of Bio-Medical Ontologies, Vipul Kashyap, Cartic Ramakrishnan, Thomas Rindflesch

Kno.e.sis Publications

The design and construction of domain specific ontologies and taxonomies requires allocation of huge resources in terms of cost and time. These efforts are human intensive and we need to explore ways of minimizing human involvement and other resources. In the biomedical domain, we seek to leverage resources such as the UMLS1 Metathesaurus and NLP-based applications such as MetaMap2 in conjunction with statistical clustering techniques, to (partially) automate the process. This is expected to be useful to the team involved in developing MeSH and other biomedical taxonomies to identify gaps in the existing taxonomies, and to be able to quickly …

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What Can Semantics Do For Bioinformatics?, Amit P. Sheth Oct 2003

What Can Semantics Do For Bioinformatics?, Amit P. Sheth

Kno.e.sis Publications

.

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Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 20, Number 2, October 2003, College Of Engineering And Computer Science, Wright State University Oct 2003

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 20, Number 2, October 2003, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

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Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura Oct 2003

Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura

Computer Science & Engineering Syllabi

Low-cost parallel computers such as PC clusters are becoming available, and many previously unsolvable problems can be solved using such computers. However, designing algorithms that perform well on parallel computers is often challenging. The focus of this course is on learning how to design algorithms for parallel computers and how to evaluate them.

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Semantic Web In Action: Ontology-Driven Information Search, Integration And Analysis, Amit P. Sheth Sep 2003

Semantic Web In Action: Ontology-Driven Information Search, Integration And Analysis, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

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Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 20, Number 1, September 2003, College Of Engineering And Computer Science, Wright State University Sep 2003

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 20, Number 1, September 2003, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

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Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Amit P. Sheth Sep 2003

Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Amit P. Sheth

Kno.e.sis Publications

Discovering complex and meaningful relationships, which we call Semantic Associations, is an important challenge. Just as ranking of documents is a critical component of today's search engines, ranking of relationships will be essential in tomorrow's semantic search engines that would support discovery and mining of the Semantic Web. Building upon our recent work on specifying types of Semantic Associations in RDF graphs, which are possible to create through semantic metadata extraction and annotation, we discuss a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations. Our techniques utilize alternative ways of specifying the …

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Continuity Of Semantic Operators In Logic Programming And Their Approximation By Artificial Neural Networks, Pascal Hitzler, Anthony K. Seda Sep 2003

Continuity Of Semantic Operators In Logic Programming And Their Approximation By Artificial Neural Networks, Pascal Hitzler, Anthony K. Seda

Computer Science and Engineering Faculty Publications

One approach to integrating first-order logic programming and neural network systems employs the approximation of semantic operators by feedforward networks. For this purpose, it is necessary to view these semantic operators as continuous functions on the reals. This can be accomplished by endowing the space of all interpretations of a logic program with topologies obtained from suitable embeddings. We will present such topologies which arise naturally out of the theory of logic programming, discuss continuity issues of several well-known semantic operators, and derive some results concerning the approximation of these operators by feedforward neural networks.

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Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Chris Halaschek, I. Budak Arpinar, Amit P. Sheth Aug 2003

Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Chris Halaschek, I. Budak Arpinar, Amit P. Sheth

Kno.e.sis Publications

Discovering complex and meaningful relationships, which we call Semantic Associations, is an important challenge. Just as ranking of documents is a critical component of today's search engines, ranking of relationships will be essential in tomorrow's semantic search engines that would support discovery and mining of the Semantic Web. Building upon our recent work on specifying types of Semantic Associations in RDF graphs, which are possible to create through semantic metadata extraction and annotation, we discuss a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations. Our techniques utilize alternative ways of specifying the …

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Boltzmann Machine Learning With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao Aug 2003

Boltzmann Machine Learning With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao

Kno.e.sis Publications

We present a new statistical learning paradigm for Boltzmann machines based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from Jaynes maximum entropy principle and from standard maximum likelihood estimation. We demonstrate the LME principle BY deriving new algorithms for Boltzmann machine parameter estimation, and show how robust and fast new variant of the EM algorithm can be developed. Our experiments show that estimation based on LME generally yields better results than maximum likelihood estimation, particularly when inferring hidden units from small amounts of data.

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Learning Mixture Models With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao Aug 2003

Learning Mixture Models With The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao

Kno.e.sis Publications

We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from Jaynes’ maximum entropy principle and from standard maximum likelihood estimation. We demonstrate the LME principle by deriving new algorithms for mixture model estimation, and show how robust new variants of the EM algorithm can be developed. Our experiments show that estimation based on LME generally yields better results than maximum likelihood estimation, particularly when inferring latent variable models from small amounts of data.

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A Visual Framework Invites Human Into The Clustering Process, Keke Chen, Ling Liu Jul 2003

A Visual Framework Invites Human Into The Clustering Process, Keke Chen, Ling Liu

Kno.e.sis Publications

Clustering is a technique commonly used in scientific research. The task of clustering inevitably involves human participation - the clustering is not finished when the computer/algorithm finishes but the user has evaluated, understood and accepted the patterns. This defines a human involved "clustering-analysis/evaluation" iteration. Instead of neglecting this human involvement, we provide a visual framework (VISTA) with all power of algorithmic approaches (since their result can be visualized), and in addition we allow the user to steer/monitor/refine the clustering process with domain knowledge. The visual-rendering result also provides a precise pattern for fast post-processing.

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Toward A Comprehensive Supplement For Language Courses, Krishnaprasad Thirunarayan, Stephen P. Carl Jul 2003

Toward A Comprehensive Supplement For Language Courses, Krishnaprasad Thirunarayan, Stephen P. Carl

Kno.e.sis Publications

No abstract provided.

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High Speed Video Capturing In The Area Of Earthquake Research, Thomas Wischgoll Jun 2003

High Speed Video Capturing In The Area Of Earthquake Research, Thomas Wischgoll

Computer Science and Engineering Faculty Publications

No abstract provided.

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Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 19, Number 8, June 2003, College Of Engineering And Computer Science, Wright State University Jun 2003

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 19, Number 8, June 2003, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

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Topological Features In Vector Fields, Thomas Wischgoll, Joerg Meyer Jun 2003

Topological Features In Vector Fields, Thomas Wischgoll, Joerg Meyer

Computer Science and Engineering Faculty Publications

No abstract provided.

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Adding Semantics To Web Services Standards, Kaarthik Sivashanmugam, Kunal Verma, Amit P. Sheth, John Miller Jun 2003

Adding Semantics To Web Services Standards, Kaarthik Sivashanmugam, Kunal Verma, Amit P. Sheth, John Miller

Kno.e.sis Publications

With the increasing growth in popularity of Web services, discovery of relevant Web services becomes a significant challenge. One approach is to develop semantic Web services where by the Web services are annotated based on shared ontologies, and use these annotations for semantics-based discovery of relevant Web services. We discuss one such approach that involves adding semantics to WSDL using DAML+OIL ontologies. Our approach also uses UDDI to store these semantic annotations and search for Web services based on them. We compare our approach with another initiative to add semantics to support Web service discovery, and show how our approach …

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Semantic Web Process Lifecycle: Role Of Semantics In Annotation, Discovery, Composition And Orchestration, Amit P. Sheth May 2003

Semantic Web Process Lifecycle: Role Of Semantics In Annotation, Discovery, Composition And Orchestration, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

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Healthcare Enterprise Process Development And Integration, Kemafor Anyanwu, Amit P. Sheth, Jorge Cardoso, John A. Miller, Krzysztof J. Kochut May 2003

Healthcare Enterprise Process Development And Integration, Kemafor Anyanwu, Amit P. Sheth, Jorge Cardoso, John A. Miller, Krzysztof J. Kochut

Kno.e.sis Publications

Healthcare enterprises involve complex processes that span diverse groups and organisations. These processes involve clinical and administrative tasks, large volumes of data, and large numbers of patients and personnel. The tasks can be performed either by humans or by automated systems. In the latter case, the tasks are supported by a variety of software applications and information systems which are very often heterogeneous, autonomous, and distributed. The development of systems to manage and automate these processes has increasingly played an important role in improving the efficiency of healthcare enterprises. In this paper we look at four healthcare and medical applications …

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